力量从思想中汲取,党的创新理论成果引领新的实践。
近年来,通过技术革新,国内大型面粉加工企业的出粉率普遍从68%—72%提高至75%—78%,吨粉能耗降低7%以上,关键营养物质提升10%以上。面条、馒头、面包、饼干、糕点……小麦专用粉加工向优向绿,精准定制化加工的品质也更有保障,让每一餐更加有滋有味。
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But that’s unironically a good idea so I decided to try and do it anyways. With the use of agents, I am now developing rustlearn (extreme placeholder name), a Rust crate that implements not only the fast implementations of the standard machine learning algorithms such as logistic regression and k-means clustering, but also includes the fast implementations of the algorithms above: the same three step pipeline I describe above still works even with the more simple algorithms to beat scikit-learn’s implementations. This crate can therefore receive Python bindings and even expand to the Web/JavaScript and beyond. This also gives me the oppertunity to add quality-of-life features to resolve grievances I’ve had to work around as a data scientist, such as model serialization and native integration with pandas/polars DataFrames. I hope this use case is considered to be more practical and complex than making a ball physics terminal app.